CognoMND: Automated Speech-Based Monitoring for Motor Neurone Disease
Developing and validating automated tools for the remote monitoring of bulbar symptoms and respiratory function in patients with MND.
Projects
Current projects
CognoStroke: Speech Biomarkers for Post-Stroke Cognitive Assessment
Investigating the utility of automated speech analysis in identifying and monitoring cognitive impairment in stroke survivors.
Previous projects
AvaChat
Co-design and initialevaluation of anavatar-basedconversationintervention prototype
CcHAT: CognoSpeak: a Cognitive Health Assessment Tool
A multi-million pound NIHR-funded clinical study to revolutionise dementia diagnosis through automated, AI-driven speech analysis.
CloudCAST
Cloud-based Clinical Applications of Speech Technology
CloudVent
CloudVent will provide a cloud-based speech recognition technology for people with Spinal Cord Injury.
COCOA: COmputational COgnitive Assessment
This project developed and evaluated a system for automatic assessment of a person’s cognitive impairment based on how they interact with an on-screen digital doctor virtual agent.
CognoSpeak UX
This project began the implementation of a more responsive and user-friendly CognoSpeak interface.
COMPutational Assessment of Stroke Survivors Prototype (COMPASS-proto)
This project aims to create an easy-to-use cognitive assessment tool specifically designed for the needs of stroke survivors. It will be based on our stratification tool COCOA (COmputational COgnitive Assessment), developed for detecting early signs of dementia. The tool uses automatic analysis of conversations that patients have with an on-screen digital doctor. The patients’ speech is and analysed for signs of cognitive decline using speech recognition and machine learning classification. . Funded by the FAST Healthcare NetworksPlus Project. 2019
COMPutational Assessment of Stroke Survivors (COMPASS)
This project aims to modify out CognoSpeak tool for the stroke survivors. It will provide an easy-to-use, home-based method for monitoring cognitive health post stroke by automatically analysing a person’s speech and language as they speak with an on-screen virtual agent. Funded by Rosetrees Trust Interdisciplinary 2019 Prize for Medicine & AI; £250,000; 2020-2023
DeepArt
DeepArt:Deep learning for articulatory-based disordered speech recognition
Empathy AI agent
Developing an Artificial Intelligence Empathy Agent
Five Minute Speech Segments
Piloting development of an automated approach to coding expressed emotion in mothers’ speech to improve prediction of youth mental health problemsImproving diagnosticprocedures for epilepsythrough automatedrecording and analysisof patient’s history; Funded by the PSYCHIATRY RESEARCH TRUST, 2021-2022.
homeService
homeService involved a longitudinal study of physically impaired people with dysarthria using voice-enabled assistive technology to control electronic devices in their home.
HPC
Remote monitoring people with Mild Cognitive Impairment using combined technology of the Digital Doctor and ViVA; This project will investigate whether OTs can assess PwMCI in their own home using CognoSpeak in combination with the ViVA remote visit system. PwMCI would use their own smartphone or tablet (facilitated by support worker or family member) or have one provided. Funded by Health & Care Partnership
Equality, Diversity and Inclusin issues in Speech Technology
What are the prevailing EDI issues in current speech technologies and how do we successfully mitigate the resulting biases?; Funded by Research England, 2022.
Automatic Dementia Detection in Kenya
This project aimed to investigate the developing non invasive tools that utilize speech analysis and QEEG to measure cognitive function in resource poor settings. Funded by the University of Sheffield GRCF pump priming award; 2019
pilotCOCA - COntext-aware COmmunication Aids
Creating more intelligent, context-aware communication aids for people with natural but disordered speech; Funded by Research England, 2022.
Seizure Classification
Improving diagnosticprocedures for epilepsythrough automatedrecording and analysisof patient’s history; Funded by the Epilepsy Research UK, 2019-2022.
Training Network on Processing of Pathological Speech (TAPAS)
This project aims to modify out CognoSpeak tool for the stroke survivors. It will provide an easy-to-use, home-based method for monitoring cognitive health post stroke by automatically analysing a person’s speech and language as they speak with an on-screen virtual agent. Funded by Rosetrees Trust Interdisciplinary 2019 Prize for Medicine & AI; £250,000; 2020-2023
Target
Technology Assisted Recovery Goal Elicitation and Transaction (TARGET)– Preparatory wor